MammalNet: A large-scale video benchmark for mammal recognition and behavior 
understanding

Chen, J.; Hu, M.; Coker, D. J.; Berumen, M. L.; Costelloe, Blair R.; Beery, S.; Rohrbach, A.; Elhoseiny, M.

doi:10.1109/cvpr52729.2023.01254

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MammalNet: A large-scale video benchmark for mammal recognition and behavior understanding

Chen, J., Hu, M., Coker, D. J., Berumen, M. L., Costelloe, B. R., Beery, S., et al. (2023). MammalNet: A large-scale video benchmark for mammal recognition and behavior understanding. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, 13052-13061. doi:10.1109/cvpr52729.2023.01254.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000F-2581-5 Version Permalink: https://hdl.handle.net/21.11116/0000-000F-2582-4

Genre: Journal Article

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Creators:
Chen, J., Author
Hu, M., Author
Coker, D. J., Author
Berumen, M. L., Author
Costelloe, Blair R.¹, Author
Beery, S., Author
Rohrbach, A., Author
Elhoseiny, M., Author

Affiliations:
1Department of Collective Behavior, Max Planck Institute of Animal Behavior, Max Planck Society, ou_3054976

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Dates: Date issued: 2023

Publication Status: Issued

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Identifiers: DOI: 10.1109/cvpr52729.2023.01254

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Title: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada

Source Genre: Journal

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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 13052 - 13061 Identifier: -